{"id":"https://openalex.org/W4379932223","doi":"https://doi.org/10.1109/tsp.2023.3284373","title":"Unknown Signal Detection in Switching Linear Dynamical System Noise","display_name":"Unknown Signal Detection in Switching Linear Dynamical System Noise","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4379932223","doi":"https://doi.org/10.1109/tsp.2023.3284373"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2023.3284373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3284373","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071419703","display_name":"Gabriel Ford","orcid":"https://orcid.org/0000-0003-2426-2286"},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gabriel Ford","raw_affiliation_strings":["Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0003-2426-2286","affiliations":[{"raw_affiliation_string":"Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085099862","display_name":"Benjamin Foster","orcid":null},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin J. Foster","raw_affiliation_strings":["Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080352333","display_name":"Stephen A. Braun","orcid":null},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen A. Braun","raw_affiliation_strings":["Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047426159","display_name":"Moshe Kam","orcid":"https://orcid.org/0000-0001-7117-1593"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moshe Kam","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0001-7117-1593","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5792,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83807396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"2220","last_page":"2234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5922539234161377},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5667757391929626},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.5193970799446106},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5133830308914185},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.505547285079956},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.5034577250480652},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.487956702709198},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48093336820602417},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.41544854640960693},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3854801654815674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3693426251411438},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.354910671710968},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.29889196157455444},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.29363566637039185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24754571914672852},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2134697437286377},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19180992245674133},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1443403959274292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5922539234161377},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5667757391929626},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.5193970799446106},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5133830308914185},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.505547285079956},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.5034577250480652},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.487956702709198},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48093336820602417},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.41544854640960693},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3854801654815674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3693426251411438},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.354910671710968},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.29889196157455444},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.29363566637039185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24754571914672852},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2134697437286377},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19180992245674133},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1443403959274292},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2023.3284373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3284373","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1487928270","https://openalex.org/W1551893515","https://openalex.org/W1672369465","https://openalex.org/W1865368880","https://openalex.org/W1968250327","https://openalex.org/W1971231551","https://openalex.org/W1973261290","https://openalex.org/W1981467401","https://openalex.org/W2011760672","https://openalex.org/W2021469018","https://openalex.org/W2026464713","https://openalex.org/W2044535354","https://openalex.org/W2054374686","https://openalex.org/W2068584285","https://openalex.org/W2086457300","https://openalex.org/W2090161364","https://openalex.org/W2100810740","https://openalex.org/W2106606323","https://openalex.org/W2109957730","https://openalex.org/W2110575115","https://openalex.org/W2114317796","https://openalex.org/W2114810571","https://openalex.org/W2120636900","https://openalex.org/W2123073649","https://openalex.org/W2123112514","https://openalex.org/W2126321337","https://openalex.org/W2130458564","https://openalex.org/W2133721980","https://openalex.org/W2140515654","https://openalex.org/W2142623799","https://openalex.org/W2145815699","https://openalex.org/W2155999145","https://openalex.org/W2158266063","https://openalex.org/W2306206097","https://openalex.org/W2469358968","https://openalex.org/W2516109868","https://openalex.org/W2537396334","https://openalex.org/W2774207202","https://openalex.org/W2796941408","https://openalex.org/W2804075771","https://openalex.org/W2911419173","https://openalex.org/W2949115596","https://openalex.org/W2980148154","https://openalex.org/W3104490327","https://openalex.org/W3194458168","https://openalex.org/W4210869902","https://openalex.org/W4288388697","https://openalex.org/W4297571718","https://openalex.org/W4297924967","https://openalex.org/W4312790010","https://openalex.org/W4313641742","https://openalex.org/W6629155625","https://openalex.org/W6634986005","https://openalex.org/W6637293023","https://openalex.org/W6638226295","https://openalex.org/W6676404962","https://openalex.org/W6679888540","https://openalex.org/W6697825013","https://openalex.org/W6726454500","https://openalex.org/W6824062597"],"related_works":["https://openalex.org/W3120979933","https://openalex.org/W2026910029","https://openalex.org/W2008793369","https://openalex.org/W1998425906","https://openalex.org/W2017941872","https://openalex.org/W2393471650","https://openalex.org/W1759328393","https://openalex.org/W2076271737","https://openalex.org/W3048457093","https://openalex.org/W2788776234"],"abstract_inverted_index":{"A":[0,69],"machine":[1],"learning":[2],"approach":[3,22,199],"is":[4,75,96,109,120,151,163],"presented":[5],"for":[6,129],"detecting":[7],"unknown":[8,94,131],"or":[9],"anomalous":[10],"signals":[11,18],"in":[12,26,44,134,213],"a":[13,38,85,123,166,178,209,214],"complicated":[14],"background":[15,115],"of":[16,59,105,139,168],"interfering":[17],"and":[19,64,81,153,174,194,217],"noise.":[20,136],"The":[21,117,137],"can":[23],"be":[24,52],"employed":[25],"RF":[27],"spectrum":[28,60],"monitoring":[29],"applications":[30],"to":[31,54,77],"efficiently":[32,65],"detect":[33,66],"transmissions":[34],"that":[35,184,195],"deviate":[36],"from":[37],"typical":[39,57],"signal":[40,95,133],"environment.":[41],"For":[42],"example,":[43],"the":[45,49,56,79,99,106,113,140,146,159,169,185,191,196],"cognitive":[46],"radio":[47,180],"domain,":[48],"technique":[50],"may":[51],"applied":[53],"learn":[55],"behavior":[58],"sharing":[61],"secondary":[62],"users":[63],"noncompliant":[67],"transmissions.":[68],"switching":[70,102],"linear":[71],"dynamical":[72],"system":[73],"(SLDS)":[74],"trained":[76],"represent":[78],"interference":[80,216],"noise":[82,218],"environment":[83],"via":[84],"Bayesian":[86],"nonparametric":[87],"hierarchical":[88],"Dirichlet":[89],"process":[90],"(HDP)-SLDS":[91],"technique.":[92],"An":[93],"detected":[97],"if":[98],"Viterbi":[100,141],"hidden":[101],"state":[103],"path":[104],"test":[107,127,143],"data":[108],"sufficiently":[110],"unlikely":[111],"under":[112,145],"learned":[114],"SLDS.":[116],"detection":[118,170,198],"scheme":[119,205],"derived":[121,164],"as":[122,165,206,208],"generalized":[124],"likelihood":[125,142],"ratio":[126],"(GLRT)":[128],"an":[130,154,202],"deterministic":[132],"SLDS":[135,197],"distribution":[138],"statistic":[144],"null":[147],"hypothesis":[148],"(signal":[149],"absent)":[150],"analyzed":[152],"asymptotic":[155],"upper":[156,192],"bound":[157,193],"on":[158,177],"false":[160,187],"alarm":[161,188],"probability":[162],"function":[167],"threshold.":[171],"Numerical":[172],"simulation":[173],"experimental":[175],"results":[176],"software-defined":[179],"(SDR)":[181],"testbed":[182],"demonstrate":[183],"empirical":[186],"rate":[189],"obeys":[190],"substantially":[200],"outperforms":[201],"earlier":[203],"HMM-based":[204],"well":[207],"standard":[210],"energy":[211],"detector":[212],"challenging":[215],"background.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
